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Efficient inference and learning in a large knowledge base - Reasoning with extracted information using a locally groundable first-order probabilistic logic., , , and . Machine Learning, 100 (1): 101-126 (2015)Never-Ending Learning., , , , , , , , , and 15 other author(s). AAAI, page 2302-2310. AAAI Press, (2015)Quasar: Datasets for Question Answering by Search and Reading., , and . CoRR, (2017)Never-ending learning., , , , , , , , , and 16 other author(s). Commun. ACM, 61 (5): 103-115 (2018)Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic., , , , and . CoRR, (2014)A Soft Version of Predicate Invention Based on Structured Sparsity., , and . IJCAI, page 3918-3924. AAAI Press, (2015)Structure Learning via Parameter Learning., , and . CIKM, page 1199-1208. ACM, (2014)ProPPR: Efficient First-Order Probabilistic Logic Programming for Structure Discovery, Parameter Learning, and Scalable Inference., , and . AAAI Workshop: Statistical Relational Artificial Intelligence, volume WS-14-13 of AAAI Technical Report, AAAI, (2014)TensorLog: Deep Learning Meets Probabilistic DBs., , and . CoRR, (2017)Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach., , , and . EMNLP, page 1152-1158. ACL, (2014)